Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …
Computationally guided personalized targeted ablation of persistent atrial fibrillation
Atrial fibrillation (AF)—the most common arrhythmia—significantly increases the risk of
stroke and heart failure. Although catheter ablation can restore normal heart rhythms …
stroke and heart failure. Although catheter ablation can restore normal heart rhythms …
[PDF][PDF] 25 years of basic and translational science in EP Europace: novel insights into arrhythmia mechanisms and therapeutic strategies
In the last 25 years, EP Europace has published more than 300 basic and translational
science articles covering different arrhythmia types (ranging from atrial fibrillation to …
science articles covering different arrhythmia types (ranging from atrial fibrillation to …
Explainable machine learning to predict anchored reentry substrate created by persistent atrial fibrillation ablation in computational models
Background Postablation arrhythmia recurrence occurs in~ 40% of patients with persistent
atrial fibrillation. Fibrotic remodeling exacerbates arrhythmic activity in persistent atrial …
atrial fibrillation. Fibrotic remodeling exacerbates arrhythmic activity in persistent atrial …
Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models
Aims Inadequate modification of the atrial fibrotic substrate necessary to sustain re-entrant
drivers (RDs) may explain atrial fibrillation (AF) recurrence following failed pulmonary vein …
drivers (RDs) may explain atrial fibrillation (AF) recurrence following failed pulmonary vein …
Up digital and personal: How heart digital twins can transform heart patient care
NA Trayanova, A Prakosa - Heart Rhythm, 2024 - Elsevier
Precision medicine is the vision of health care where therapy is tailored to each patient. As
part of this vision, digital twinning technology promises to deliver a digital representation of …
part of this vision, digital twinning technology promises to deliver a digital representation of …
Sensitivity of ablation targets prediction to electrophysiological parameter variability in image-based computational models of ventricular tachycardia in post-infarction …
Ventricular tachycardia (VT), which could lead to sudden cardiac death, occurs frequently in
patients with myocardial infarction. Computational modeling has emerged as a powerful …
patients with myocardial infarction. Computational modeling has emerged as a powerful …
Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
SF Bifulco, GD Scott, S Sarairah, Z Birjandian… - Elife, 2021 - elifesciences.org
Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of
undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib) …
undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib) …
The role of personalized atrial modeling in understanding atrial fibrillation mechanisms and improving treatment
Atrial fibrillation is the most common arrhythmia in humans and is associated with high
morbidity, mortality and health-related expenses. Computational approaches have been …
morbidity, mortality and health-related expenses. Computational approaches have been …
Characterizing the arrhythmogenic substrate in personalized models of atrial fibrillation: sensitivity to mesh resolution and pacing protocol in AF models
Aims Computationally guided persistent atrial fibrillation (PsAF) ablation has emerged as an
alternative to conventional treatment planning. To make this approach scalable …
alternative to conventional treatment planning. To make this approach scalable …